The Role of Big Data in security
The phenomenon of Big Data presents numerous opportunities for businesses across all industries to achieve higher growth and gain a competitive leverage that they could not achieve otherwise. Big Data are a number of data managing solutions that manage large datasets in the form of exabytes and petabytes. Tools such as Big Data analytics, for example, allow organizations to tap into large data sets in order to extract and gain valuable insights for better decision making.
However, Big Data has important applications for data security purposes in addition to marketing and statistical purposes. This is because for organizations that manage large volumes of data are exposed to a higher risk of losing sensitive corporate information should the right security protocols and system not be implemented.
Problems with traditional encryption methods
SMBs are exposed to countless data security risks frequently with some going to say that data breaches are inevitable and all organizations can do is to simply quicken the process of detecting and eliminating such risks. Although SMBs have access to various encryption tools at their disposal to protect their network from data breaches, they still are exposed to various limitations that undermines the security level of corporate networks. One limitation is that each encryption caters only for a specific end is not through enough to account for different kinds of data breaches.
For instance, you could use encryption to protect data in your database. However, the data will not remain encrypted if it gets exported into a big data environment. There are also other factors that can easily be ignored such as the different types of data sources, the location of the vendor’s keys, and configuration issues.
So while SMBs have access to a number of encryption technologies from vendors, the details of the security system cannot cater for the wide range of configuration information and log files attributed to big data. Firms that rely on traditional encryption approaches tend to settle for an incomplete security policy and management that leaves that exposed to risks of data breaches.
How Big Data can play a key role in better data security
Big Data can be a vital addition to the area of data risk management. It can allow SMBs to unveil a larger number of risks and vulnerabilities contained within their networks and grant them the capability to tackle high and low data risks before it affects their database. It can further allow data managers to process security threats in real-time and reduce the average time taken to detect and address data breaches.
SMBs can use Big Data for the following applications:
1) Data sources
Due to the overwhelming amounts of data being processed, organizations must be able to accommodate for keeping track of the different kinds of data, including structured and unstructured data. So without an efficient data storage facility, SMBs will not be able to secure their networks.
2) Data analytics
Analytics can play a major role in helping SMBs optimize their processes through the use of accurate and detailed reporting and analysis tools. Business intelligence software can give organizations a big hand in being able to combat the different kinds of malicious software.